Statistical Computing Laboratory

Publications

2020

Refereed Journal Articles

R. Užupytė, E. C. Wit
Test for triadic closure and triadic protection in temporal relational event data
Social Network Analysis and Mining, 1-21(10), 2020 scopus.com
V. Vinciotti, E. C. Wit
Statistica Neerlandica special issue on Statistical Network Science
Statistica Neerlandica, 74(3), 220-221, 2020. doi.org/10.1111/stan.12212
F. Richter, B. Haegeman, R. S. Etienne, E. C. Wit
Introducing a general class of species diversification models for phylogenetic trees
Statistica Neerlandica, 74(3), 261-274, 2020 doi.org/10.1111/stan.12205
S. Ranciati., E.C. Wit, C. Viroli
Bayesian smooth-and-match inference for ordinary differential equations models linear in the parameters
Statistica Neerlandica, 74(3), 125-144, 2020 scopus.com
E. C. Wit, L. Augugliaro, H. Pazira, J. González, F. Abegaz
Sparse relative risk regression models
Biostatistics, 21(2), e131–e147, 2020 scopus.com
W. Kruijer, P. Behrouzi, D. Bustos-Korts, M. X. Rodríguez-Álvarez, S. M. Mahmoudi, B. Yandell, E. C. Wit, F. A. van Eeuwijk
Reconstruction of Networks with Direct and Indirect Genetic Effects
Genetics, 214(4), 781-807, 2020 doi.org/10.1534/GENETICS.119.302949
M. Signorelli, E. C. Wit
Model-based clustering for populations of networks
Statistical Modelling, 20(1), 9-29, 2020 doi.org/10.1177/1471082X19871128
S. de Vos, S. Patten, E. C. Wit, E. H. Bos, K. J. Wardenaar, P. de Jonge
Subtyping psychological distress in the population: A semi-parametric network approach
Epidemiology and psychiatric sciences, 29, 1-8, 2020 doi.org/10.1017/S204579601900026X
S. N. Wood, E. C. Wit, M.Fasiolo, P. J. Green
COVID-19 and the difficulty of inferring epidemiological parameters from clinical data
Lancet Infectious Diseases, 2020 doi.org/10.1016/S1473-3099(20)30437-0
I. Artico, I. Smolyarenko, V. Vinciotti, E. C. Wit
How rare are power-law networks really?
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 476(2241), 2020 doi.org/10.1098/rspa.2019.0742

2019

Refereed Journal Articles

D. Pellin, L. Biasco, A. Aiuti, M.C. Di Serio, E.C. Wit
Penalized inference of the hematopoietic cell differentiation network via high-dimensional clonal tracking
Applied Network Science, 1-115, 2019 doi.org/10.1007/s41109-019-0225-1
K. Kamphorst, B.C. Oosterloo, A.M. Vlieger, N.B. Rutten, C.M. Bunkers, E.C. Wit, R.M Van Elburg
Antibiotic Treatment in the First Week of Life Impacts the Growth Trajectory in the First Year of Life in Term Infants
Journal of Pediatric Gastroenterology and Nutrition, 131-136, 2019 doi.org/10.1097/MPG.0000000000002360
A. Abbruzzo , I. Vujačić, A.M. Mineo, E.C. Wit
Selecting the tuning parameter in penalized Gaussian graphical models
Statistics and Computing, 559-569, 2019 doi.org/10.1007/s11222-018-9823-5
P. Behrouzi, E.C. Wit
De novo construction of polyploid linkage maps using discrete graphical models
Bioinformatics, 1-3, 2019 doi.org/10.1093/bioinformatics/bty777
N. Demetrashvili, N. Smidt, H. Snieder, E.R. Van Den Heuvel, E.C. Wit
Variance components models for analysis of big family data of health outcomes in the lifelines cohort study
Twin Research and Human Genetics, 1083-1093, 2019 https://doi.org/10.1017/thg.2019.1
E.C. Wit
Introduction to network inference in genomics
Network Science: An Aerial View, 99-119, 2019 doi.org/10.1007/978-3-030-26814-5_7
R. Mohammadi, E.C. Wit
BDgraph: An R package for Bayesian structure learning in graphical models
Journal of Statistical Software, 1-2, 2019 doi.org/10.18637/jss.v089.i03
S. E. Balafas, W. P. Krijnen, W. J. Post, E. C. Wit
An R Package for Nonparametric IRT Modelling of Unfolding Processes
The R Journal, journal.r-project.org
N. P. Gill, L. D’Arrigo, E. C Wit
Comparison of Postoperative Fever and Effectiveness of Percutaneous Nephrolithotomy (PCNL) Versus Retrograde Intrarenal Surgery (RIRS) for the Treatment of Renal Stones
SN Comprehensive Clinical Medicine, 1(3), 154-159.019, 2019 doi.org/10.1007/s42399-018-0023-6
P. Behrouzi, E. C. Wit
Detecting epistatic selection with partially observed genotype data by using copula graphical models
Journal of the Royal Statistical Society. Series C: Applied Statistics, 68(1), 141-160, 2019 doi.org/10.1111/rssc.12287